{"id":"W2059916489","doi":"10.3138/carto.46.3.185","title":"Comparisons of Residents' Perceptions of Patterns and Trends on Computer-Animated Maps and Graphs and on Google Maps of Events in Their Neighbourhoods","year":2011,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Casual; Perception; Graph; Quarter (Canadian coin); Geography; Computer science; Cartography; Psychology; Theoretical computer science; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001129474,0.0001583371,0.0001654518,0.001117786,0.0002603929,0.0009157434,0.0002631663,0.0003644735,0.001482222],"category_scores_gemma":[0.0111456,0.0001960749,0.0002512404,0.0005633547,0.0005187169,0.001032283,0.0006853284,0.0002619035,0.0002587351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002279263,"about_ca_system_score_gemma":0.0001473954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.016598,"about_ca_topic_score_gemma":0.02390558,"domain_scores_codex":[0.9992551,0.000293345,0.0000816692,0.00009002085,0.0002031716,0.00007654433],"domain_scores_gemma":[0.9952717,0.00197438,0.001224877,0.0003557876,0.0008439429,0.0003292285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003676295,0.0001130946,0.9528654,0.00005632568,0.00008555532,0.0001462407,0.02881123,0.000385413,0.001345898,0.00007680782,0.0002188707,0.01552762],"study_design_scores_gemma":[0.000006675783,0.0002403692,0.968358,0.00002905569,0.00002825983,0.0001663919,0.02924953,0.0008298196,0.0003957808,0.00006839835,0.0006060059,0.00002178201],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996285,0.00001233689,0.00005280537,0.000009490678,5.669173e-7,0.00000187224,0.00002795449,0.000002097995,0.0002643332],"genre_scores_gemma":[0.9995995,0.00003243268,0.0001200396,0.000005741242,0.000001193432,0.000003124637,0.00008252575,0.000001563093,0.0001538827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.016598,"threshold_uncertainty_score":0.03300273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02717807310927738,"score_gpt":0.3082779593376391,"score_spread":0.2810998862283617,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}